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Namrata Srivastava
Namrata Srivastava
Postdoctoral Researcher, Penn Center for Learning Analytics, University of Pennsylvania
Verifierad e-postadress på upenn.edu
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Combining low and mid-level gaze features for desktop activity recognition
N Srivastava, J Newn, E Velloso
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018
362018
Continuous evaluation of video lectures from real-time difficulty self-report
N Srivastava, E Velloso, JM Lodge, S Erfani, J Bailey
Proceedings of the 2019 CHI conference on Human factors in computing systems …, 2019
222019
Effects of internal and external conditions on strategies of self-regulated learning: A learning analytics study
N Srivastava, Y Fan, M Rakovic, S Singh, J Jovanovic, J Van Der Graaf, ...
LAK22: 12th international learning analytics and knowledge conference, 392-403, 2022
212022
Are you with me? Measurement of learners’ video-watching attention with eye tracking
N Srivastava, S Nawaz, J Newn, J Lodge, E Velloso, S M. Erfani, ...
LAK21: 11th international learning analytics and knowledge conference, 88-98, 2021
192021
Faces of focus: A study on the facial cues of attentional states
E Babaei, N Srivastava, J Newn, Q Zhou, T Dingler, E Velloso
Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020
192020
Human identification using linear multiclass SVM and eye movement biometrics
N Srivastava, U Agrawal, SK Roy, US Tiwary
2015 Eighth International Conference on Contemporary Computing (IC3), 365-369, 2015
162015
Exploring the usage of thermal imaging for understanding video lecture designs and students' experiences
N Srivastava, S Nawaz, JM Lodge, E Velloso, S Erfani, J Bailey
Proceedings of the tenth international conference on learning analytics …, 2020
142020
How do teachers use dashboards enhanced with data storytelling elements according to their data visualisation literacy skills?
S Pozdniakov, R Martinez-Maldonado, YS Tsai, V Echeverria, ...
LAK23: 13th International Learning Analytics and Knowledge Conference, 89-99, 2023
102023
Analysis of task difficulty sequences in a simulation-based POE environment
S Nawaz, N Srivastava, JH Yu, RS Baker, G Kennedy, J Bailey
Artificial Intelligence in Education: 21st International Conference, AIED …, 2020
92020
VIVID: a web application for variant interpretation and visualization in multi-dimensional analyses
S Tichkule, Y Myung, MT Naung, BRE Ansell, AJ Guy, N Srivastava, ...
Molecular biology and evolution 39 (9), msac196, 2022
82022
How difficult is the task for you? Modelling and analysis of students' task difficulty sequences in a simulation-based POE environment
S Nawaz, N Srivastava, JH Yu, AA Khan, G Kennedy, J Bailey, RS Baker
International Journal of Artificial Intelligence in Education 32 (2), 233-262, 2022
82022
Mitigating the effects of reading interruptions by providing reviews and previews
N Srivastava, R Jain, J Healey, Z Bylinskii, T Dingler
Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing …, 2021
82021
Cognitive aid: task assistance based on mental workload estimation
Q Zhou, J Newn, N Srivastava, T Dingler, J Goncalves, E Velloso
Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing …, 2019
82019
GAVIN: Gaze-assisted voice-based implicit note-taking
AA Khan, J Newn, RM Kelly, N Srivastava, J Bailey, E Velloso
ACM Transactions on Computer-Human Interaction (TOCHI) 28 (4), 1-32, 2021
62021
Using contactless sensors to estimate learning difficulty in digital learning environments
N Srivastava
Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019
62019
Single or Multi-page Learning Analytics Dashboards? Relationships Between Teachers’ Cognitive Load and Visualisation Literacy
S Pozdniakov, R Martinez-Maldonado, YS Tsai, N Srivastava, Y Liu, ...
European Conference on Technology Enhanced Learning, 339-355, 2023
42023
Understanding the role of AI and learning analytics techniques in addressing task difficulties in STEM education
S Nawaz, EA Alghamdi, N Srivastava, J Lodge, L Corrin
Artificial intelligence in STEM education, 241-258, 2022
32022
Characteristics of Deep and Skim Reading on Smartphones vs. Desktop: A Comparative Study
X Chen, N Srivastava, R Jain, J Healey, T Dingler
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023
22023
Faces of Focus: A Study on the Facial Cues of Attentional States. Association for Computing Machinery, New York, NY, USA, 1–13
E Babaei, N Srivastava, J Newn, Q Zhou, T Dingler, E Velloso
22020
Effective Searching Methodology for finding relevant Paths between nodes using Qualified Bi-Directional BFS algorithm on Graph database
R Goel, N Srivastava, H Chandola, B Rohilla, S Srivastava, RH Goudar
2013 3rd IEEE International Advance Computing Conference (IACC), 696-701, 2013
12013
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Artiklar 1–20